IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Discrete forecast horizons for two-product variants of the dynamic lot-size problem

Listed author(s):
  • Dawande, Milind
  • Gavirneni, Srinagesh
  • Naranpanawe, Sanjeewa
  • Sethi, Suresh P.

Motivated by the recent success of integer programming based procedures for computing discrete forecast horizons, we consider two-product variants of the classical dynamic lot-size model. In the first variant, we impose a warehouse capacity constraint on the total ending inventory of the two products in any period. In the second variant, the two products have both individual and joint setup costs for production. To our knowledge, there are no known procedures for computing forecast horizons for these variants. Under the assumption that future demands are discrete, we characterize forecast horizons for these two variants as feasibility/optimality questions in 0-1 mixed integer programs. A detailed computational study establishes the effectiveness of our approach and enables us to gain valuable insights into the behavior of minimal forecast horizons.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal International Journal of Production Economics.

Volume (Year): 120 (2009)
Issue (Month): 2 (August)
Pages: 430-436

in new window

Handle: RePEc:eee:proeco:v:120:y:2009:i:2:p:430-436
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

in new window

  1. Jaruphongsa, Wikrom & Cetinkaya, Sila & Lee, Chung-Yee, 2004. "Warehouse space capacity and delivery time window considerations in dynamic lot-sizing for a simple supply chain," International Journal of Production Economics, Elsevier, vol. 92(2), pages 169-180, November.
  2. Harvey M. Wagner & Thomson M. Whitin, 1958. "Dynamic Version of the Economic Lot Size Model," Management Science, INFORMS, vol. 5(1), pages 89-96, October.
  3. Harvey M. Wagner, 2004. "Comments on √úDynamic Version of the Economic Lot Size Model√Ě," Management Science, INFORMS, vol. 50(12_supple), pages 1775-1777, December.
  4. Porras, Eric & Dekker, Rommert, 2008. "A solution method for the joint replenishment problem with correction factor," International Journal of Production Economics, Elsevier, vol. 113(2), pages 834-851, June.
  5. Suresh Chand & Vernon Ning Hsu & Suresh Sethi, 2002. "Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography," Manufacturing & Service Operations Management, INFORMS, vol. 4(1), pages 25-43, September.
  6. Suresh Chand & Thomas E. Morton, 1982. "A Perfect Planning Horizon Procedure for a Deterministic Cash Balance Problem," Management Science, INFORMS, vol. 28(6), pages 652-669, June.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:120:y:2009:i:2:p:430-436. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.